NDLI: Optimal SNR-based coverage in Poisson cellular networks with power density constraints

Content Provider	IEEE Xplore Digital Library
Author	Samarasinghe, T. Inaltekin, H. Evans, J.S.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, VIC, Australia (Samarasinghe, T.; Evans, J.S.) \|\| Dept. of Electr. & Electron. Eng., Antalya Int. Univ., Antalya, Turkey (Inaltekin, H.)
Abstract	This paper studies the coverage maximization for wireless networks in which base station (BS) locations are drawn from a homogenous spatial Poisson point process, and user locations are arbitrary. A user is covered for communication if its received signal-to-noise-ratio (SNR) is above a given threshold value, and the objective is to maximize the coverage probability under per unit area power density constraints. The resulting optimization problem is solved analytically by making use of the underlying concavity in the objective function when transmissions are impaired only by a power-law bounded path loss. Our results show that the optimal transmit power per BS is independent of the power density constraint, and the solution to the optimization problem represents the Pareto optimal boundary between the power density constraint and the coverage probability. Then, these results are extended to a system in which transmissions are impaired by both path loss and fading. The resulting optimization problem with fading turns out to be a non-convex optimization problem. In this case, we provide tight upper bounds on the optimal coverage probability. The paper also discusses the importance of using bounded path loss models for coverage maximization problems in wireless networks, and shows that an unbounded model will lead to trivial solutions.
Starting Page	105
Ending Page	110
File Size	691040
Page Count	6
File Format	PDF
ISBN	9781467346733
e-ISBN	9781467346757
e-ISBN	9781467346740
DOI	10.1109/AusCTW.2013.6510053
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-29
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fading Power system measurements Upper bound Density measurement Linear programming Optimization Signal to noise ratio
Content Type	Text
Resource Type	Article

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